While the role of cortical microstructure in organising neural function is well established, it remains unclear how structural constraints can give rise to more flexible elements of cognition. While non-human primate research has demonstrated a...

Brain-imaging research has predominantly generated insight by means of classical statistics, including regression-type analyses and null-hypothesis testing using t-test and ANOVA. Throughout recent years, statistical learning methods enjoy...

The nature of mental illness remains a conundrum. Traditional disease categories are
increasingly suspected to misrepresent the causes underlying mental disturbance. Yet
psychiatrists and investigators now have an unprecedented opportunity to...

Transcranial direct current stimulation (tDCS) is a non-invasive neuromodulation technique that is widely used in clinical research to modulate cortical excitability and plasticity. At the same time, the mechanism of action and its actual impact on...

Introduction
This will be a relatively short post. Ahead of posting our pre-print, “Bayesian Hypothesis Testing for Gaussian Graphical Models: Conditional Independence and Order Constraints”, I wanted to make one thing clear: zero estimates form...

There is significant interest in the development and application of deep neural networks (DNNs) to neuroimaging data. A growing literature suggests that DNNs outperform their classical counterparts in a variety of neuroimaging applications, yet...